PURSE 2010

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Browsing PURSE 2010 by Author "Alahakoon, C. N. K."

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    Information communication technology self-efficacy and correlation of ICT stress
    (University of Peradeniya, 2010-12-16) Alahakoon, C. N. K.
    Introduction Information communication technologies (ICT) are effecting revolutionary changes in the way information is stored, retrieved and disseminated. To handle these new technologies within the library, there should be certain ICT capabilities that have to be acquired by the undergraduates. The university libraries spend large amounts of money to acquire the relevant JCT equipment to provide effective and efficient services to users. Support has been provided in setting up the necessary networked infrastructure by providing the requisite hardware and software and further the iT training in the facuIties. However, many studies have proved that, the ICT usage of the undergraduates in Arts/ Social Sciences and Humanities are poor when finding information. Some students are reluctant to use ICT systems as they consider it to be time consuming, unreliable and some users are frightening to advent to new technology. To improve.the ICT usage, it is necessary to study self-efficacy level of ICTusage and their level of ICT stress among the undergraduates in the universities. The self-efficacy is "the belief one has the capability to perform a specific task" (Bandura, 1997). The following research studies done by Compueau and Higgings, 1995; Compeau et a!. 1999; Eastin and LaRose, 2000; Dumdell and Haag, 2002; Thatcher and Perrewe, 2002 and Sam et a!., 2005; tried to identify the computer self-efficacy and the anxiety or the levelof the stress as these two factors are inter- dependent. Materials and Methods The design of this research study has been based on survey and questionnaire was used as a research instrument to collect data. According to the simple random sampling method 321 Special- final Year undergraduates of Arts/ Social Sciences and Humanities from University of Peradeniya (212) and University of Ruhuna (\09) were selected. An Information Communication Technology Self-efficacy (ICTSE) scale was prepared according to Bandura's self-efficacy theory which assess the Computer self- efficacy (Cli), Online Public Access Catalogue Self-efficacy (OPAC) and the Internet Self-efficacy (lNT). A hypothesis was developed and tested by using these two scales HI: The higher the individual's ICT self-efficacy, the lower his/her ICT stress. Results and Discussion The 25 items of ICT self-efficacy scale and 15 items of ICT stress scale was tested and the feedback was received from (n=\OO) undergraduates to refine the questionnaire; each item preceded with the phrase "I feel confident ... ". Then the total item correlation in each constructs and the alpha value u for the items assessed to know the reliability of the items. For the final study, 22 ICT self-efficacy items and 15 stress scale items was used. Table 1: Reliability analysis The items which have item-total correlations less than 0.50 were dropped from the scale. Table 1- scales of ICT Self-efficacy (lCTSE) and ICT Stress (ICTSS) show the number of selected items for the final questionnaire and their high reliability. For the ICTSE scale. item correlation and alpha (a= .520 - .775), Cronbach's alpha ifitem deleted is 0.945. For the ICTSS scale item correlation and alpha (a= .506 - .857), Cronbach's alpha if item deleted is 0.898. Table 2.1 Group analysis of the t-test Table 2.1 indicated that the mean of these two scales. There is a mean difference between ICTSE scale in these two universities but no such differences in the ICTSS scale in the PDN and RUH universities. The level of the ICTSS is less than even the middle level (75) in both the universities. Table 2.2: t-test for Difference to a Significant Level According to Table 2.2 the statistical test of significance level was indicated. The ability of the Information Communication Self-efficacy is significant and indicated as P-value .000. The analysis regarding the ICT Stress Scale, it is not significant as indicated by .483 of2-tailed analysis. Table 3: Correlations Coefficients of each Subscales Correlations Coefficients between subscales of the ICTSE such as CE, OPAC, INT and the scale of ICTSS are indicated in the table 3 of this study. The correlations between the three subscales of the ICTSE and ICTSS scale scores were highly significant at the P